{"id":"W3196886157","doi":"10.3390/s21175766","title":"Computer Game-Based Telerehabilitation Platform Targeting Manual Dexterity: Exercise Is Fun. “You Are Kidding—Right?”","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Telerehabilitation; Task (project management); Rehabilitation; Computer science; Physical medicine and rehabilitation; Modalities; Human–computer interaction; Variety (cybernetics); Software; Medicine; Telemedicine; Health care; Physical therapy; Engineering; Artificial intelligence; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002791101,0.0005741587,0.0002521372,0.0003720123,0.0001128738,0.0004643633,0.0007504334,0.0003695417,0.006794818],"category_scores_gemma":[0.0008892475,0.0001283848,0.0002984469,0.0001312839,0.0002085104,0.0004575928,0.0005102387,0.000302689,0.001775971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406455,"about_ca_system_score_gemma":0.0002820475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008916567,"about_ca_topic_score_gemma":0.001980007,"domain_scores_codex":[0.999861,0.00003258681,0.00001006771,0.00003010946,0.00004216834,0.0000240692],"domain_scores_gemma":[0.9997349,0.00008503691,0.00002595216,0.00002368923,0.00006906829,0.00006126516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.001797172,0.001899163,0.01074923,0.001344996,0.0002122714,0.001009581,0.0007201972,0.004526489,0.2397142,0.00523838,0.04279425,0.689994],"study_design_scores_gemma":[0.001328617,0.01599752,0.15192,0.001033966,0.0009517747,0.01058895,0.001017165,0.1608486,0.2266037,0.01034302,0.4188619,0.0005048211],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4276379,0.001658663,0.4957055,0.001876781,0.0006772993,0.003247578,0.002756859,0.01620293,0.05023643],"genre_scores_gemma":[0.679092,0.001423897,0.276068,0.001699627,0.0001405853,0.002787966,0.002392003,0.0004992806,0.03589655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006794818,"threshold_uncertainty_score":0.02273089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133916697981733,"score_gpt":0.2668754402301372,"score_spread":0.2534837704319639,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}